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Record W2513373009 · doi:10.1109/mwsym.2016.7540267

In-flow dielectric characterization of single biological cells using a wideband DEP cytometer

2016· article· en· W2513373009 on OpenAlexaff
Samaneh Afshar, Elham Salimi, Katrin Braasch, Michael Butler, D. J. Thomson, Greg E. Bridges

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDielectrophoresisMicrofluidicsMaterials scienceWidebandInterferometryMicrowaveDielectricElectrodeChinese hamster ovary cellDispersion (optics)OptoelectronicsOpticsChemistryPhysicsNanotechnology

Abstract

fetched live from OpenAlex

We describe a microfluidic dielectrophoresis (DEP) cytometer that is able to measure the dielectric properties of single biological cells while in flow over the 100 kHz - 400 MHz frequency range. The device provides both the sign and magnitude of the Clausius-Mossotti factor over the entire beta-dispersion region. A microwave interferometer is used to measure the DEP induced translation of individual cells as they flow over a multi-electrode sensing array. The DEP response of polystyrene microspheres is used to verify and calibrate the device. The spectral response of Chinese hamster ovary cells (CHO) is measured and the corresponding cross-over frequencies are determined.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.200
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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